EXTRAAMAS 2023
EXplainable, Transparent, and Responsible AI and Multi-Agent Systems
2023
No keynotes available for 2023.
EXPLAINABLE AGENTS
Mining and Validating Belief-based Agent ExplanationsAuthors: Ahmad Alelaimat, Aditya Ghose and Hoa Khanh Dam
Evaluating a mechanism for explaining BDI agent behaviourAuthors: Michael Winikoff and Galina Sidorenko
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-MakingAuthors: Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen and Stefano V. Albrecht
A General-Purpose Protocol for Multi-Agent based ExplanationsAuthors: Giovanni Ciatto, Matteo Magnini, Berk Buzcu, Reyhan Aydogan and Andrea Omicini
Metrics for Evaluating Explainable Recommender SystemsAuthors: Joris Hulstijn, Igor Tchappi, Amro Najjar and Reyhan Aydoǧan
Dialogue Explanations for Rules-based AI SystemsAuthors: Yifan Xu, Joe Collenette, Louise Dennis and Clare Dixon
Estimating Causal Responsibility for Explaining Autonomous BehaviorAuthors: Saaduddin Mahmud, Samer Nashed, Claudia Goldman and Shlomo Zilberstein
EXPLAINABLE ML/DL
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing
Authors: Andrea Agiollo, Pradeep Kumar Murukannaiah, Luciano Cavalcante Siebert and Andrea Omicini
Counterfactual, Contrastive and Hierarchical Explanations with Contextual Importance and Utility
Authors: Kary Främling
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge ExtractorsAuthors: Federico Sabbatini and Roberta Calegari
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer ClassificationAuthors: Victor Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk and Davide Calvaresi
Imperative Action Masking for Safe Exploration in Reinforcement LearningAuthors: Umanta Dey, Sharat Bhat, Pallb Dasgupta and Soumyajit Dey
Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach
Authors: Fumito Uwano and Keiki Takadama
Leveraging Imperfect Explanations for Plan Recognition ProblemsAuthors: Ahmad Alelaimat, Aditya Ghose and Hoa Khanh Dam
Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour
Authors: Matija Franklin, David Lagnado, Chulhong Min, Akhil Mathur and Fahim Kawsar
Inherently Interpretable Deep Reinforcement Learning through Online Mimicking
Authors: Andreas Kontogiannis and George Vouros
(X)AI and LAW
Aligning Explainable AI and the Law: The European PerspectiveAuthors: Balint Gyevnar and Nick Ferguson
Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer InteractionAuthors: Rachele Carli and Davide Calvaresi
Program Chairs
Davide Calvaresi, Amro Najjar, Kary Främling, Andrea Omicini
Tracks Chairs
Giovanni Ciatto, Reyhan Aydoǧan, Yazan Mualla, Rachele Carli
Publicity Chairs
Yazan Mualla, Rachele Carli, Benoit Alcaraz
Program Committee
Katsuhide Fujita, Ryuta Arisaka, Roberta Calegari,Yazan Mualla, Amro Najjar, Federico Sabbatini, Paolo Sernani, Andrea Rafanelli, Mahjoub Dridi, Mickael Bettinelli, Matteo Magnini, Francisco Lera, Rachele Carli, Eskandar Kouicem, Salima Lamsiyah, Jomi Fred Hubner, Thiago Raulino, Giovanni Ciatto, Rémy Chaput, Alaa Daoud, Igor Tchappi, Miguel A. Lopez-Carmona, Giuseppe Pisano, Timothy Kampik, Marini Niccolò, Andrea Agiollo, Hui Zhao, Stéphane Galland, Kary Främling, Victor Contreras, Arianna Rossi, Bartłomiej Kucharzyk, Marina Paolanti, Avleen Malhi, Takayuki Ito, Rafik Hadfi, Lora Fanda, Joris Hulstijn.